Undergraduate Theses

At Princeton, I get to advise the senior/junior theses of some very bright undergraduate students. If interested, you can find these theses at the Princeton Mudd Library.

2017
  • Tin Nguyen
  • Deniz Cekrige
  • Tianay Ziegler
  • Haley Wan
2016
  • Mihaela Curmei, "Monotonically constrained polynomial regression: an application of sum of squares techniques and semidefinite programming".
    • Winner of the Proctor and Gamble Prize for best thesis in operations research.
    • Supervised in collaboration with Georgina Hall.
    • Preprint in preparation.
  • Ellie McDonald, "Minimizing, through a mixed integer nonlinear programming problem, the cost of reaching Hawaii's one hundred percent renewable energy goal by 2045".
    • Winner of the Sigma Xi Book Award for excellence in research.
    • Supervised in collaboration with Georgina Hall.
  • Naman Jain, "An application of computer vision methods for diamond classification: color, clarity, and cut".
    • Winner of the Admiral W. Mack Memorial Prize for significant contributions to society.
  • Ryan Miller, "The outdoor action trip assignment problem".
    • Winner of the Joseph Clifton Elgin Prize (awarded by SEAS to a thesis that has done the most to advance the interests of the school and the community at large).
    • Winner of the Kenneth H Condit '13 Prize (awarded for academic achievement and impact on the community).
    • Supervised in collaboration with Jeffrey Zhang.
2015
  • Michael Wattendorf, "Systemic risk in the asymmetric case: theory and experiments with epidemiology using semidefinite programming".
    • Winner of the Proctor and Gamble Prize for best thesis in operations research.
  • Jacob Eisenberg, "Combating uncertainty with context: optimal lineup selection in daily fantasy baseball".
    • Winner of the Proctor and Gamble Prize for best thesis in operations research.
  • Max Kaplan, "Subway optimization: New York metro and London underground".
  • Salena Hess, "Predicting residential real estate prices and gentrification in Washington, DC using machine learning".
2014
  • Benjamin Quazzo, "Levels of the game: a statistical and mathematical analysis of ATP Grand Slam competitions from 2005 to 2012".
  • Janie Gu, "The minimum vacation cost problem: a novel generalization of TSP with vertex costs and flexible time windows".
  • Rishita Patlolla, "Redistribution of unused pharmaceuticals from hospitals to safety-net clinics in New Jersey".
  • Michael Wattendorf, "Predicting points in tennis".
  • Jacob Eisenberg, "Determining the boundary of the MLB strike zone: a convex optimization approach".
    • Preprint in preparation.